Latent space edits.  
Interpretable user controls in a generative model are useful for many graphics applications. We investigate whether this property still holds for our customized models.
More importantly, the edit operations should be identical to the original models, to avoid the need to run latent discovery algorithms again on each customized model.
To investigate this, we apply the latent discovery method GANSpace [1]} to the original models. By moving along the reported latent directions, we observe that our customized models can perform the exact same manipulations from the results in Härkönen et al., as shown in Figure REF .
Since we are only tuning the mapping network of the generator, our method did not change how the model is processing the \(w\) -space latents. As a result, properties on latent edits are preserved. In addition, we observe that latent interpolation remains smooth in our models, as shown in Figure  REF
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